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Ship continuously with validation gates

Every change runs the right agents automatically. Block releases that fail policy; approve remediation with audit trails.

  • 10x

    Faster Deployments
  • 95%

    Fewer Rollbacks
  • <15min

    PR Feedback
LIVE/console
Zof AI 家庭指揮中心顯示 12 次運行,通過率達 94%,3 個未解決的關鍵問題,84% 的覆蓋率,四個模組可追溯性條,規範管道,即將到來的時間表,以及透過活動運行側欄建議的下一步行動。
主頁視圖·結帳服務·分期·從產品中即時擷取。
  • 01 · RUNS · 24H

    94% pass

    12 runs across staging

  • 02 · COVERAGE

    84%

    Across four modules

  • 03 · ACTIVE RUNS

    3 running

    Live on this branch

  • 04 · NEXT ACTIONS

    Recommended

    Triage gaps, new spec

02操作面

一個表面用於顯示姿勢、操作以及接下來需要注意的事項。

Zof 首頁不是行銷儀表板。它是營運表面工程、QA 和 SRE 團隊每天使用的操作、品質態勢、飛行運行、模組覆蓋範圍以及領導者下一步應該關注的行動。

營運關鍵績效指標

運行·覆蓋範圍·風險

生活在您運送到的每個環境中。

工作脊柱

規格·測試·時間表

從規範到預定回歸。

護欄

RBAC·SSO·審計

每一個行動都歸因於一個指定的人。

DELIVERY EXCELLENCE

Metrics That Drive Velocity

10x

Faster Deployments

From weekly to hourly releases

95%

Fewer Rollbacks

Catch issues before production

<15min

PR Feedback

Full validation on every change

100%

Change Coverage

Every commit is validated

The Continuous Delivery Paradox

Everyone wants to ship faster. But faster deployments with inadequate validation means more production incidents. Teams oscillate between “move fast” and “freeze everything” modes.

Manual QA Cannot Keep Pace

Modern development velocity requires validation speed that manual processes cannot achieve. You either slow down or ship untested.

Release delays or risk

False Confidence in Tests

High code coverage does not equal production readiness. Critical paths, edge cases, and cross-system interactions go untested.

80% of bugs missed

Feature Flags Are Not Enough

Progressive rollouts help contain blast radius, but they do not prevent bugs. Catching issues at 1% traffic still means incidents.

Incidents still happen

Rollbacks Are Expensive

Rolling back costs engineering time, creates customer friction, and often introduces new bugs. Prevention is cheaper than cure.

$50K+ per rollback

THE SAFE CD PIPELINE

Validation at Every Step

01Instant analysis

Code Commit

Developer pushes code. Zof System Graph identifies all affected paths and dependencies.

02< 30 seconds

Intelligent Test Selection

Based on change impact, Zof selects and prioritizes relevant tests from 19 categories.

035-15 minutes

Parallel Agent Execution

AI agents run in parallel-unit, integration, security, performance, and more-simultaneously.

04Immediate feedback

Impact Analysis

If issues are found, Zof provides root cause, blast radius, and recommended fixes.

05Continuous flow

Safe Deployment

Validated changes merge and deploy automatically. No manual gates needed.

CI/CD INTEGRATIONS

Works with Your CI/CD

GitHub ActionsGitLab CIJenkinsCircleCIAzure DevOpsBitbucket

Traditional CD vs Safe CD with Zof

Traditional CD vs Safe CD with Zof
MetricTraditional CDSafe CD with Zof
Deploy FrequencyWeekly/MonthlyMultiple per day
Lead TimeDays to weeksHours to minutes
Change Fail Rate15-30%< 5%
MTTRHoursMinutes
Test CoveragePartial, manual100%, automated
Confidence LevelHope-basedData-validated
We went from deploying twice a month with fear to deploying multiple times a day with confidence. Our rollback rate dropped from 20% to under 2%. Zof is the missing piece for true continuous delivery.

David Chen, VP of Engineering

High-Growth B2B SaaS

Next step

Ready for Safe Continuous Delivery?

See how Zof enables fearless deployments without slowing you down.

  • 30-minute demo - See your CI/CD integration - Get deployment analysis
Ship continuously with validation gates | Zof AI